A computer-implemented method for identifying a topology of a power distribution grid having a number of transformers includes acquiring measurement signals of one or more electrical quantities pertaining to nodes of the power distribution grid. A graph representation is generated using the measurement signals and grid topological information, wherein the measurement signals pertaining to respective nodes are used to derive node features and the grid topological information is used to encode edges representing certain and uncertain connections between the nodes. The graph representation is processed using a graph neural network to classify the nodes and output a mapping of each of the nodes to one of the transformers, whereby a status of the uncertain connections is determined.

Various implementations power homes and businesses without needing to connect to electric utility company-provided power, i.e., they can operate off-grid. Generally the system includes solar panel racks (e.g., photovoltaic cells on sheets stabilized using ballasts, anchors, or mounting) that generate electrical power used to provide power to a building or that is stored on batteries. The system includes the solar panel racks and an enclosure to be installed at the premises and separate from the building. The enclosure includes the batteries and inverters that are electronically connected to the solar panel racks and batteries. The inverters are configured to convert direct current (DC) electricity from the solar power racks and batteries to alternating current (AC) electricity to provide power to the building via wires electrically connecting the inverters to the main panel of the building.

Apparatus and methods for managing power at a wellsite. An example apparatus may include a well construction equipment operable to construct a well at the wellsite, a power supply system operable to output electrical power to the well construction equipment to facilitate operation of the well construction equipment, and a control system for controlling the well construction system. The control system may be operable to store a digital drilling program and cause the well construction equipment to perform planned well construction operations based on the digital drilling program. The digital drilling program may include an equipment operational plan indicative of the planned well construction operations to be performed by the well construction equipment to construct the well, and an electrical power plan indicative of a planned electrical power demand of the well construction equipment to perform the planned well construction operations.

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. Some embodiments include an input device to receive input from a user. The site information may include an indication from the user of a site participation preference for a response event for an aggregation opportunity.

A parked vehicle charging method includes inputting vehicle information of a vehicle that is parked, parking space information, charging information requested by the vehicle, and necessary time information preliminarily secured by the vehicle to a management server, scheduling, by the management server, charging of the vehicle based on the requested charging information and the necessary time information of the vehicle, controlling, by the management server, charging intensity of charging equipment based on the vehicle information of the vehicle, the parking space information, and a charging schedule, and receiving, by the management server, charging result information from the charging equipment after charging end of the vehicle and calculating an amount of money to be charged to a user of the vehicle.

A method includes providing, by processing circuitry, a net resource consumption trajectory including net resource consumption targets for one or more subperiods of a time period. Each net resource consumption target indicates a target difference between resource consumption and resource production or offset for a subperiod of the one or more subperiods. The method includes generating, by the processing circuitry and for a subperiod of the one or more subperiods, a set of actions predicted to achieve the net resource consumption target for the subperiod. The method includes implementing, by the processing circuitry, the set of actions.

An information processing apparatus is provided. Acquisition means acquires first information regarding OCVs of a plurality of secondarily used vehicle batteries. Determination means determines a combination of the vehicle batteries based on the first information such that the OCV of the vehicle batteries falls within a target range with charging and discharging between the vehicle batteries.

A system includes a processor and a non-transitory, computer-readable memory that includes instructions executable by the processor for causing the processor to perform operations. The operations include receiving a query including an asset inventory or maintenance question of an asset of a power distribution network. The operations further include accessing data of the power distribution network that is associated with the asset and applying a forecasting model to the query and the data of the power distribution network that is associated with the asset to generate an asset inventory or maintenance forecast. Additionally, the operations include controlling an ordering operation of the asset or a maintenance scheduling of the asset using the asset inventory or maintenance forecast.

Disclosed techniques include using machine learning to detect an electrical anomaly in a power distribution system. In an example, a method includes accessing voltage measurements measured at an electric metering device and over a time period. The method further includes calculating, from voltage measurements and for each time window of a set of time windows, a corresponding average voltage and a corresponding minimum voltage. The method further includes applying a machine learning model to the average voltages and the minimum voltages. The machine learning model is trained to identify one or more predetermined electrical anomalies from voltages. The method further includes receiving, from the machine learning model, a classification indicating an identified anomaly. The method further includes based on the classification, sending an alert to a utility operator.

A communication device is provided with: a first communication part that is connected to an energy storage device or a power supply related apparatus and communicates with the energy storage device or the power supply related apparatus; an acquisition part that acquires information including a state of the energy storage device or the power supply related apparatus on the basis of a set timing; a change acceptance part that accepts a change in the timing and changes the timing; and a transmission part that transmits, at a timing after the change, the information acquired by the acquisition part to a first apparatus by using a second communication part communicatively connected to the first apparatus.